code: def test_numpy_isin(
      *,
      assume_unique_and_dtype_and_x,
      invert,
      on_device,
      fn_tree,
      frontend,
      test_flags,
      backend_fw,
  ):
      x_and_dtype = assume_unique_and_dtype_and_x
      dtypes, values = x_and_dtype
      elements, test_elements = values
      helpers.test_frontend_function(
          input_dtypes=dtypes,
          frontend=frontend,
          test_flags=test_flags,
          fn_tree=fn_tree,
          on_device=on_device,
          element=elements,
          test_elements=test_elements,
          invert=invert,
          backend_to_test=backend_fw,
      )
  
file_path: ivy/ivy_tests/test_ivy/test_frontends/test_numpy/test_logic/test_array_contents.py
imports: import numpy
  from hypothesis import strategies
  import ivy_tests.test_ivy.helpers
  from ivy_tests.test_ivy.helpers import handle_frontend_test
label_desc: Use image node_id 4 for calling a global function with example usage: test_numpy_isin() without return types